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An effect of afferent stimulation using a hardware model of a central pattern generator based on neuronal networks

机译:基于神经网络的中央图案发生器的硬件模型传入刺激的效果

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This paper introduces hardware designs for a half-centered locomotor central pattern generator (CPG), composed of units reproducing the electrical behavior of neurons and synapses, such as action potentials, bursting discharges, and post-synaptic potentials. A typical phenomenon generated by the CPG is an alternating rhythmic activity of extensor and flexor sites, in the absence of external rhythmic input. In order to reproduce the phase resetting and non-resetting rhythmic activities observed after the afferent stimulation, a two-level CPG network and unit burst generators were proposed by Rybak et al. from an approach based on mathematical modeling. This paper confirms that such phase resetting and non-resetting rhythmic phenomena could be well reproduced by the hardware design of a two-level CPG using the electronic circuit simulator SPICE. In particular, it has been clarified that the phase resetting depends on the amount of stimulation of the extensor afferents during extension.
机译:本文介绍了由半中心运动中心模式发生器(CPG)的硬件设计,由再现神经元和突触的电气行为,例如动作电位,爆破放电和突触后潜在的单元组成。在没有外部节律输入的情况下,CPG产生的典型现象是伸肌和屈肌位点的交替节奏活性。为了再现在传入刺激后观察到的相位复位和不重置节奏活动,Rybak等人提出了一种两级CPG网络和单元爆发发生器。从基于数学建模的方法。本文证实,使用电子电路模拟器Spice的双层CPG的硬件设计,可以很好地再现这种相位复位和不复位节奏现象。特别地,已经阐明了相位复位取决于延伸期间延伸传统的刺激量。

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